
Comparing Diagnostic Accuracy: LLMs vs. Physicians
An analysis of large language model (LLM) diagnostic performance on medical benchmarks compared to physicians, exploring accuracy, limitations, and implications.
An analysis of large language model (LLM) diagnostic performance on medical benchmarks compared to physicians, exploring accuracy, limitations, and implications.
An explanation of active learning principles and their adaptation for Large Language Models (LLMs) using human-in-the-loop (HITL) feedback for model alignment.
Explore the history and development of Anthropic's Claude 4 large language model, covering its evolution, key features, and advancements over prior versions.
A comprehensive comparison of three approaches to adapting large language models for pharmaceutical applications: fine-tuning, distillation, and prompt engineering, with technical details and real-world examples.